You will design, build, and deploy machine learning models for critical cybersecurity use cases such as threat detection, fraud intelligence, and risk scoring. You will own the full model lifecycle, including data preparation, feature engineering, and production monitoring in cloud-native environments.
Define and drive the AI-forward product strategy for SpyCloud's investigations capabilities to help security teams uncover cybercriminal activity. Lead the end-to-end product lifecycle from discovery to launch, transforming complex cybercrime data into automated investigative tools.
Lead the architectural transformation and modernization of data systems using Databricks and AWS to serve customers via purpose-built data stores. Design scalable data pipelines and systems to support AI-readiness, ML models, and LLM applications while mentoring other data engineers.
Drive regional bookings by prospecting and closing large enterprise accounts in the Bay Area. Manage the full sales cycle and collaborate with internal teams to deliver high-value cybersecurity solutions.
Lead and mentor a team of federal sales engineers while personally managing pre-sales efforts for strategic government accounts. Translate complex breach and identity data into mission outcomes for the DoD, Intelligence Community, and federal law enforcement.
Drive revenue growth in the DACH region by prospecting and closing new enterprise accounts for anti-fraud and cybersecurity solutions. Manage the full sales cycle from lead generation to quote-to-cash while maintaining accurate CRM forecasting.
